Case Study: SNCF cuts Kubernetes costs by 30% with PerfectScale by DoiT

SNCF absorbs 30% more Kubernetes workloads with PerfectScale

SNCF, one of Europe's largest rail operators, faced the challenge of controlling escalating Kubernetes costs across hundreds of clusters without sacrificing resilience. Manual rightsizing efforts could not scale across their 200+ projects, and engineers defaulted to over-provisioning to avoid production risks. They adopted PerfectScale to safely automate optimization at scale.

PerfectScale provided a risk-aware, automated control plane that integrated with SNCF's ArgoCD deployment. The solution allowed them to safely implement rightsizing recommendations directly in production environments. As a result, SNCF absorbed 30% more Kubernetes workloads without increasing cloud spend, achieved an estimated €500K in annualized savings, and improved cluster stability.

SNCF